顧客個人の購買行動データに基づくバラエティ・シーキング行動予測手法の提案

抄録

In this study, we tried to predict the brand switching behavior (variety-seeking behavior) forstimulating customer's purchases at the store in real-time. We used customer purchase data from Japaneseretail stores for evaluating our proposed method. Our proposed method includes some additionalexplanatory variables from existing studies, which considers purchasing pattern in a time series. The resultsshowed that our proposed method increased the prediction accuracy of brand switching behavior. Ourproposed method includes some additional explanatory variables from existing studies, which considerspurchasing pattern in a time series. The results showed that our proposed method increased the predictionaccuracy of brand switching behavior. Furthermore, our proposed method can be used for various storesand products because experimental results showed that our proposed method's effectiveness is independentof stores and products.